Home // ADVCOMP 2022, The Sixteenth International Conference on Advanced Engineering Computing and Applications in Sciences // View article
Authors:
Evgeny Pyshkin
Andrei Kuznetsov
Andrey Matveets
Keywords: Musicology; music information retrieval; human- centric computing; music similarity; pattern matching; music signature; music modeling
Abstract:
This paper describes a preliminary study looking into applying pattern matching algorithms working with music signatures to the "Children's Album" by Pyotr Tchaikovsky. Though music signatures introduced by Cope are usually used for author identification and computer music generation, we make an effort to use them for analysis of origins and links of the existing compositions. We take Tchaikovsky's "Children's Album" as an interesting case, where we can try to apply the computational models to resolving the questions, which are usually mostly in scope of musicology studies. Specifically, our experiments demonstrate that one can find only a few Schumann signatures in the pieces from the "Children's Album", in contradiction to the Tchaikovsky's note in the published version claiming the imitation of Schumann's approach. Thus, our experimental results can provide additional important insights for musicologists searching to unravel the possible reasons of significant transformations that occurred on the way from the accurately organized manuscript to the first published edition. The previous studies addressing this issue are mostly in the scope of music theory, with almost no involvement of computational approaches to music analysis. Techniques based on formal mathematical methods and computer technology, though being unable to completely resolve these issues, bring new data to the discourse of musicology and art.
Pages: 11 to 16
Copyright: Copyright (c) IARIA, 2022
Publication date: November 13, 2022
Published in: conference
ISSN: 2308-4499
ISBN: 978-1-61208-990-4
Location: Valencia, Spain
Dates: from November 13, 2022 to November 17, 2022